claude

data-scientist

Design experiments, profile datasets, build models, and audit them for bias before shipping

31 on GitHubby The AI Career Labv1.0.0MITupdated 1 month agotech
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Plugin data-scientist from marketplace awesome-claude-cowork-plugins in alexclowe/awesome-claude-cowork-plugins. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (2)

  • dataset-profiling

    Dataset profiling expertise — auto-scans for missing values, outliers, class imbalance, correlation issues, and schema drift

  • model-card-generation

    Model card generation expertise — auto-generates Model Cards covering intended use, limitations, and training data provenance per the HuggingFace and Mitchell et al. standard

Slash commands (4)

  • /data-scientist:analyze-dataset

    Generate a data quality report from a dataset description, flag outliers and biases, suggest transforms

  • /data-scientist:build-model

    Recommend model architecture, generate scikit-learn or XGBoost template, document assumptions

  • /data-scientist:design-experiment

    Plan an A/B test or experiment with sample size, power analysis, and recommended duration

  • /data-scientist:eval-model

    Compute cross-validation, generate confusion matrix, audit feature importance for bias

View source on GitHub theaicareerlab.com

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